Abstract #2463
Improved Scan Efficiency of 3D Fast Spin Echo with Subspace-Constrained Reconstruction
Jonathan I. Tamir 1 , Weitian Chen 2 , Peng Lai 2 , Martin Uecker 1 , and Michael Lustig 1
1
Electrical Engineering and Computer
Sciences, University of California, Berkeley, Berkeley,
CA, United States,
2
Global
Applied Science Laboratory, GE Healthcare, Menlo Park,
CA, United States
Scan efficiency plays a major role in 3D Fast Spin Echo
because of the tradeoff between image blurring and SNR.
The number of echo trains during a scan is limited by
the TR interval, which is often much longer than the
prescribed echo train length (ETL). Here we explore the
benefit of using the extra time in the TR to increase
the ETL. We show that a model-based,
subspace-constrained reconstruction is able to use the
additional data to increase SNR. The approach has a
fixed SNR cost independent of ETL compared to a
reconstruction where the relaxation parameters are
known.
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